import pandas as pd
import holoviews as hv
from holoviews import opts, dim
from bokeh.sampledata.les_mis import data
hv.extension('bokeh')
hv.output(size=200)Need
Generate quickly such vizualisations

Using bokeh - holoviews
https://holoviews.org/reference/elements/bokeh/Chord.html
links = pd.DataFrame(data['links'])
print(links.head(3)) source target value
0 1 0 1
1 2 0 8
2 3 0 10
# libraries
import pandas as pd
import holoviews as hv
from holoviews import opts, dim
from bokeh.sampledata.les_mis import data
# data set
nodes = hv.Dataset(pd.DataFrame(data['nodes']), 'index')
# chord diagram
chord = hv.Chord((links, nodes)).select(value=(5, None))
chord.opts(
opts.Chord(cmap='Category20', edge_cmap='Category20', edge_color=dim('source').str(),
labels='name', node_color=dim('index').str()))nodes:Dataset [index] (name,group)
Using excel
There are examples from https://sites.google.com/site/e90e50fx/home/talent-traffic-chart-with-chord-diagram-in-excel
that we can download and use.
Seems limited to a fixed number of category